System Engineer, GPU Server

Supermicro
Spain
6 days ago
Apply on es.trabajo.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Compensation
€90,000.0 - €110,000.0
Working hours
Regular working hours
Job source

Tech stack

Cloud Computing Computer Engineering Data Centers Software Debugging High Performance Computing Information Technology

Requirements

Engineers, and Product Managers to gather and refine product requirements for development. * Cross-Functional Project Work: Engage with cross-functional teams, including Engineering, Component Managers, Sales, and IT, on assigned projects to ensure cohesive development and implementation. Qualifications: * Educational Background: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or Computer Engineering is required. * Experience: A minimum of 2 years of hands-on experience in system/server architecture development and debug. GPU experience a plus. Network and Liquid Cooling experience also a plus.* Technical Expertise: Strong knowledge and understanding of computer architecture, server technologies, and data center operations, with prior experience in high-performance computing environments. * Communication Skills: Exceptional verbal and written communication abilities are essential. The candidate must be adept at creating and presenting complex technical concepts to diverse audiences, facilitating productive discussions, and receiving constructive feedback. * Analytical Skills: Demonstrated analytical and problem-solving skills, with a strong ability to interpret complex data, trends, and customer feedback to inform product decisions. * Industry Knowledge: Familiarity with GPU and cloud computing technologies, and Supermicro’s product suite is preferred, along with experience using customer relationship management (CRM) tools.Salary Range $90,000 - $110,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee

About the company

Job Req ID: 29599 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: The high-performance Product team at Supermicro is looking for a skilled System Engineer to support the development of technical collateral for in-house GPU server system products. In this role, you will have the chance to define and implement cutting-edge data center and server technologies. You will create proof of concepts and technical feature presentations that will showcase Supermicro’s products at

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on es.trabajo.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:12 min

Addressing the competitive landscape of specialized hardware demands

Hazal Mestci +1 · Coffee With Developers

51 sec

Repurposing hardware and operating underwater data centers

Chris Heilmann +1 · LIVE

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

2:08 min

The vending machine trap in software debugging

Jen Callou Jen Callou · Europe 2026 Virtual

1:31 min

Profiling computing workloads across environments using Performance Studio

Andrew Wafaa Andrew Wafaa · World Congress 2024

4:03 min

Managing massive power consumption scaling in AI data centers

Stephan Gillich Stephan Gillich +3 · World Congress 2024

Videos

See all

Related articles

See all